Population by sex and age -- UN estimates and projections, July 2022 (thousands) [POP_2POP_SEX_AGE_NB]

Updated on DBnomics on September 5, 2023 (5:48 AM)

Reference area [ref_area]
Source [source]
Classification 1 [classif1]
Sex [sex]
Frequency [frequency]

Dataset has 26,829 series. Add search filters to narrow them.

Series code 1990199119921993199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020
AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A 5346.409 5372.208 6028.939 7000.119 7722.096 8199.445 8537.421 8871.958 9217.591 9595.036 9727.541 9793.166 10438.055 11247.647 11690.825 12109.086 12614.498 12835.34 13088.192 13557.331 13949.295 14468.875 15067.373 15594.637 16172.321 16682.054 17115.347 17614.722 18136.922 18679.089 19279.93
AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A 5348.387 5372.96 6028.495 7003.641 7733.458 8219.467 8569.175 8916.862 9275.541 9667.812 9815.442 9895.467 10562.202 11397.483 11862.726 12302.105 12828.447 13067.961 13339.007 13827.977 14240.377 14780.282 15399.106 15946.572 16543.889 17071.446 17520.861 18028.696 18549.863 19090.409 19692.301
AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A 10694.796 10745.167 12057.433 14003.76 15455.555 16418.912 17106.596 17788.819 18493.132 19262.848 19542.982 19688.633 21000.257 22645.13 23553.551 24411.191 25442.944 25903.301 26427.199 27385.308 28189.672 29249.157 30466.479 31541.209 32716.21 33753.499 34636.207 35643.418 36686.784 37769.499 38972.231
AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A 1034.74 1038.414 1162.496 1344.743 1475.783 1557.336 1609.737 1659.537 1710.456 1766.987 1780.477 1786.15 1902.076 2052.399 2141.259 2240.202 2361.851 2397.155 2461.427 2610.166 2736.472 2905.47 3093.585 3248.88 3413.903 3548.851 3654.025 3777.06 3900.158 4021.246 4153.476
AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A 1048.014 1055.646 1185.043 1375.359 1514.657 1602.941 1661.428 1716.483 1771.331 1831.413 1846.932 1853.936 1975.554 2133.08 2226.685 2328.345 2452.747 2497.84 2571.385 2725.02 2858.826 3032.7 3224.798 3387.079 3558.924 3702.727 3818.61 3948.664 4075.644 4200.723 4337.299
AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A 2082.754 2094.06 2347.538 2720.101 2990.44 3160.277 3271.165 3376.02 3481.787 3598.4 3627.408 3640.086 3877.63 4185.478 4367.944 4568.547 4814.597 4894.995 5032.812 5335.185 5595.298 5938.17 6318.383 6635.958 6972.827 7251.577 7472.636 7725.723 7975.801 8221.969 8490.775
AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A 692.456 696.026 781.028 906.13 998.203 1057.946 1099.249 1139.958 1182.009 1228.061 1242.508 1247.999 1327 1426.358 1478.595 1539.803 1615.05 1595.605 1586.006 1646.586 1683.19 1764.29 1873.672 1962.894 2072.778 2165.941 2240.985 2343.747 2459.053 2585.59 2734.918
AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A 648.711 652.248 732.798 853.477 945.543 1008.574 1056.124 1104.285 1154.066 1208.319 1232.038 1246.394 1333.822 1441.83 1502.32 1570.762 1651.916 1637.888 1633.094 1697.788 1738.589 1823.338 1935.819 2028.133 2140.609 2235.923 2313.183 2415.721 2527.558 2650.198 2796.206
AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A 1341.167 1348.275 1513.825 1759.607 1943.746 2066.52 2155.374 2244.243 2336.074 2436.38 2474.546 2494.392 2660.822 2868.189 2980.915 3110.565 3266.966 3233.493 3219.099 3344.374 3421.778 3587.627 3809.49 3991.028 4213.387 4401.863 4554.168 4759.467 4986.611 5235.788 5531.124
AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A 475.09 471.248 522.26 600.004 656.296 694.411 722.07 748.773 776.628 807.501 818.017 823.224 877.698 946.627 985.483 1026.925 1077.851 1087.133 1100.955 1146.548 1180.333 1231.959 1294.389 1345.487 1403.303 1450.647 1485.73 1529.003 1574.603 1623.423 1684.127
Dimension codes and labels
[ref_area] Reference area
  • [AFG] Afghanistan
  • [AGO] Angola
  • [ALB] Albania
  • [ARE] United Arab Emirates
  • [ARG] Argentina
  • [ARM] Armenia
  • [AUS] Australia
  • [AUT] Austria
  • [AZE] Azerbaijan
  • [BDI] Burundi
  • [BEL] Belgium
  • [BEN] Benin
  • [BFA] Burkina Faso
  • [BGD] Bangladesh
  • [BGR] Bulgaria
  • [BHR] Bahrain
  • [BHS] Bahamas
  • [BIH] Bosnia and Herzegovina
  • [BLR] Belarus
  • [BLZ] Belize
  • [BOL] Bolivia
  • [BRA] Brazil
  • [BRB] Barbados
  • [BRN] Brunei Darussalam
  • [BTN] Bhutan
  • [BWA] Botswana
  • [CAF] Central African Republic
  • [CAN] Canada
  • [CHA] Channel Islands
  • [CHE] Switzerland
  • [CHL] Chile
  • [CHN] China
  • [CIV] Côte d'Ivoire
  • [CMR] Cameroon
  • [COD] Congo, Democratic Republic of the
  • [COG] Congo
  • [COL] Colombia
  • [COM] Comoros
  • [CPV] Cabo Verde
  • [CRI] Costa Rica
  • [CUB] Cuba
  • [CYP] Cyprus
  • [CZE] Czechia
  • [DEU] Germany
  • [DJI] Djibouti
  • [DNK] Denmark
  • [DOM] Dominican Republic
  • [DZA] Algeria
  • [ECU] Ecuador
  • [EGY] Egypt
  • [ERI] Eritrea
  • [ESH] Western Sahara
  • [ESP] Spain
  • [EST] Estonia
  • [ETH] Ethiopia
  • [FIN] Finland
  • [FJI] Fiji
  • [FRA] France
  • [GAB] Gabon
  • [GBR] United Kingdom
  • [GEO] Georgia
  • [GHA] Ghana
  • [GIN] Guinea
  • [GMB] Gambia
  • [GNB] Guinea-Bissau
  • [GNQ] Equatorial Guinea
  • [GRC] Greece
  • [GTM] Guatemala
  • [GUM] Guam
  • [GUY] Guyana
  • [HKG] Hong Kong, China
  • [HND] Honduras
  • [HRV] Croatia
  • [HTI] Haiti
  • [HUN] Hungary
  • [IDN] Indonesia
  • [IND] India
  • [IRL] Ireland
  • [IRN] Iran, Islamic Republic of
  • [IRQ] Iraq
  • [ISL] Iceland
  • [ISR] Israel
  • [ITA] Italy
  • [JAM] Jamaica
  • [JOR] Jordan
  • [JPN] Japan
  • [KAZ] Kazakhstan
  • [KEN] Kenya
  • [KGZ] Kyrgyzstan
  • [KHM] Cambodia
  • [KOR] Korea, Republic of
  • [KWT] Kuwait
  • [LAO] Lao People's Democratic Republic
  • [LBN] Lebanon
  • [LBR] Liberia
  • [LBY] Libya
  • [LCA] Saint Lucia
  • [LKA] Sri Lanka
  • [LSO] Lesotho
  • [LTU] Lithuania
  • [LUX] Luxembourg
  • [LVA] Latvia
  • [MAC] Macau, China
  • [MAR] Morocco
  • [MDA] Moldova, Republic of
  • [MDG] Madagascar
  • [MDV] Maldives
  • [MEX] Mexico
  • [MKD] North Macedonia
  • [MLI] Mali
  • [MLT] Malta
  • [MMR] Myanmar
  • [MNE] Montenegro
  • [MNG] Mongolia
  • [MOZ] Mozambique
  • [MRT] Mauritania
  • [MUS] Mauritius
  • [MWI] Malawi
  • [MYS] Malaysia
  • [NAM] Namibia
  • [NCL] New Caledonia
  • [NER] Niger
  • [NGA] Nigeria
  • [NIC] Nicaragua
  • [NLD] Netherlands
  • [NOR] Norway
  • [NPL] Nepal
  • [NZL] New Zealand
  • [OMN] Oman
  • [PAK] Pakistan
  • [PAN] Panama
  • [PER] Peru
  • [PHL] Philippines
  • [PNG] Papua New Guinea
  • [POL] Poland
  • [PRI] Puerto Rico
  • [PRK] Korea, Democratic People's Republic of
  • [PRT] Portugal
  • [PRY] Paraguay
  • [PSE] Occupied Palestinian Territory
  • [PYF] French Polynesia
  • [QAT] Qatar
  • [ROU] Romania
  • [RUS] Russian Federation
  • [RWA] Rwanda
  • [SAU] Saudi Arabia
  • [SDN] Sudan
  • [SEN] Senegal
  • [SGP] Singapore
  • [SLB] Solomon Islands
  • [SLE] Sierra Leone
  • [SLV] El Salvador
  • [SOM] Somalia
  • [SRB] Serbia
  • [SSD] South Sudan
  • [STP] Sao Tome and Principe
  • [SUR] Suriname
  • [SVK] Slovakia
  • [SVN] Slovenia
  • [SWE] Sweden
  • [SWZ] Eswatini
  • [SYR] Syrian Arab Republic
  • [TCD] Chad
  • [TGO] Togo
  • [THA] Thailand
  • [TJK] Tajikistan
  • [TKM] Turkmenistan
  • [TLS] Timor-Leste
  • [TON] Tonga
  • [TTO] Trinidad and Tobago
  • [TUN] Tunisia
  • [TUR] Türkiye
  • [TWN] Taiwan, China
  • [TZA] Tanzania, United Republic of
  • [UGA] Uganda
  • [UKR] Ukraine
  • [URY] Uruguay
  • [USA] United States
  • [UZB] Uzbekistan
  • [VCT] Saint Vincent and the Grenadines
  • [VEN] Venezuela, Bolivarian Republic of
  • [VIR] United States Virgin Islands
  • [VNM] Viet Nam
  • [VUT] Vanuatu
  • [WSM] Samoa
  • [X01] World
  • [X02] World: Low income
  • [X03] World: Lower-middle income
  • [X04] World: Upper-middle income
  • [X05] World: High income
  • [X06] Africa
  • [X07] Africa: Low income
  • [X08] Africa: Lower-middle income
  • [X09] Africa: Upper-middle income
  • [X10] Northern Africa
  • [X11] Northern Africa: Lower-middle income
  • [X13] Sub-Saharan Africa
  • [X14] Sub-Saharan Africa: Low income
  • [X15] Sub-Saharan Africa: Lower-middle income
  • [X16] Sub-Saharan Africa: Upper-middle income
  • [X17] Central Africa
  • [X18] Eastern Africa
  • [X19] Southern Africa
  • [X20] Western Africa
  • [X21] Americas
  • [X23] Americas: Lower-middle income
  • [X24] Americas: Upper-middle income
  • [X25] Americas: High income
  • [X26] Latin America and the Caribbean
  • [X28] Latin America and the Caribbean: Lower-middle income
  • [X29] Latin America and the Caribbean: Upper-middle income
  • [X30] Latin America and the Caribbean: High income
  • [X31] Caribbean
  • [X32] Central America
  • [X33] South America
  • [X34] Northern America
  • [X35] Northern America: High income
  • [X36] Arab States
  • [X37] Arab States: Lower-middle income
  • [X38] Arab States: Upper-middle income
  • [X39] Arab States: High income
  • [X40] Asia and the Pacific
  • [X41] Asia and the Pacific: Low income
  • [X42] Asia and the Pacific: Lower-middle income
  • [X43] Asia and the Pacific: Upper-middle income
  • [X44] Asia and the Pacific: High income
  • [X45] Eastern Asia
  • [X48] Eastern Asia: High income
  • [X49] South-Eastern Asia and the Pacific
  • [X51] South-Eastern Asia and the Pacific: Lower-middle income
  • [X52] South-Eastern Asia and the Pacific: Upper-middle income
  • [X53] South-Eastern Asia and the Pacific: High income
  • [X54] South-Eastern Asia
  • [X55] Pacific Islands
  • [X56] Southern Asia
  • [X58] Southern Asia: Lower-middle income
  • [X60] Europe and Central Asia
  • [X61] Europe and Central Asia: Lower-middle income
  • [X62] Europe and Central Asia: Upper-middle income
  • [X63] Europe and Central Asia: High income
  • [X64] Northern, Southern and Western Europe
  • [X65] Northern, Southern and Western Europe: Upper-middle income
  • [X66] Northern, Southern and Western Europe: High income
  • [X67] Northern Europe
  • [X68] Southern Europe
  • [X69] Western Europe
  • [X70] Eastern Europe
  • [X72] Eastern Europe: Upper-middle income
  • [X73] Eastern Europe: High income
  • [X74] Central Asia
  • [X75] Central and Western Asia: Lower-middle income
  • [X76] Central and Western Asia: Upper-middle income
  • [X77] Central and Western Asia: High income
  • [X78] Central and Western Asia
  • [X79] Western Asia
  • [X82] European Union 28
  • [X83] G20
  • [X84] ASEAN
  • [X85] BRICS
  • [X87] World excluding BRICS
  • [X88] G7
  • [X89] MENA
  • [X90] Arab League
  • [X91] CARICOM
  • [X92] European Union 27
  • [X94] Arab States: Low income
  • [X97] APEC
  • [YEM] Yemen
  • [ZAF] South Africa
  • [ZMB] Zambia
  • [ZWE] Zimbabwe
[source] Source
  • [XA_12987] ILO - Modelled Estimates
  • [XA_12988] ILO - Modelled Estimates
  • [XA_12989] ILO - Modelled Estimates
  • [XA_12990] ILO - Modelled Estimates
  • [XA_13329] ILO - Modelled Estimates
  • [XA_14065] ILO - Modelled Estimates
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  • [XA_15672] ILO - Modelled Estimates
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  • [XA_16111] ILO - Modelled Estimates
  • [XA_1829] ILO - Modelled Estimates
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  • [XA_1839] ILO - Modelled Estimates
  • [XA_1843] ILO - Modelled Estimates
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  • [XA_1914] ILO - Modelled Estimates
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  • [XA_8377] ILO - Modelled Estimates
  • [XA_8378] ILO - Modelled Estimates
  • [XA_8379] ILO - Modelled Estimates
  • [XA_8380] ILO - Modelled Estimates
  • [XA_8381] ILO - Modelled Estimates
  • [XA_8382] ILO - Modelled Estimates
  • [XA_8383] ILO - Modelled Estimates
  • [XA_8384] ILO - Modelled Estimates
  • [XA_8385] ILO - Modelled Estimates
  • [XA_8386] ILO - Modelled Estimates
  • [XA_8387] ILO - Modelled Estimates
  • [XA_8388] ILO - Modelled Estimates
  • [XA_8389] ILO - Modelled Estimates
  • [XA_8390] ILO - Modelled Estimates
  • [XA_8391] ILO - Modelled Estimates
  • [XA_8392] ILO - Modelled Estimates
  • [XA_8393] ILO - Modelled Estimates
  • [XA_8394] ILO - Modelled Estimates
  • [XA_8395] ILO - Modelled Estimates
  • [XA_8396] ILO - Modelled Estimates
  • [XA_8397] ILO - Modelled Estimates
  • [XA_8398] ILO - Modelled Estimates
  • [XA_8399] ILO - Modelled Estimates
  • [XA_8400] ILO - Modelled Estimates
  • [XA_8401] ILO - Modelled Estimates
  • [XA_8402] ILO - Modelled Estimates
  • [XA_8403] ILO - Modelled Estimates
  • [XA_8404] ILO - Modelled Estimates
  • [XA_8405] ILO - Modelled Estimates
  • [XA_8406] ILO - Modelled Estimates
  • [XA_8407] ILO - Modelled Estimates
  • [XA_8408] ILO - Modelled Estimates
  • [XA_8409] ILO - Modelled Estimates
  • [XA_8411] ILO - Modelled Estimates
  • [XA_8412] ILO - Modelled Estimates
  • [XA_8413] ILO - Modelled Estimates
  • [XA_8415] ILO - Modelled Estimates
  • [XA_8416] ILO - Modelled Estimates
  • [XA_8417] ILO - Modelled Estimates
  • [XA_8419] ILO - Modelled Estimates
  • [XA_8420] ILO - Modelled Estimates
  • [XA_8421] ILO - Modelled Estimates
  • [XA_8422] ILO - Modelled Estimates
  • [XA_8423] ILO - Modelled Estimates
  • [XA_8424] ILO - Modelled Estimates
  • [XA_8425] ILO - Modelled Estimates
  • [XA_8426] ILO - Modelled Estimates
  • [XA_8427] ILO - Modelled Estimates
  • [XA_8428] ILO - Modelled Estimates
  • [XA_8429] ILO - Modelled Estimates
  • [XA_8432] ILO - Modelled Estimates
  • [XA_8434] ILO - Modelled Estimates
  • [XA_8435] ILO - Modelled Estimates
  • [XA_8436] ILO - Modelled Estimates
  • [XA_8438] ILO - Modelled Estimates
  • [XA_8440] ILO - Modelled Estimates
  • [XA_8441] ILO - Modelled Estimates
  • [XA_8442] ILO - Modelled Estimates
  • [XA_8443] ILO - Modelled Estimates
  • [XA_8444] ILO - Modelled Estimates
  • [XA_8446] ILO - Modelled Estimates
  • [XA_8447] ILO - Modelled Estimates
  • [XA_8448] ILO - Modelled Estimates
  • [XA_8449] ILO - Modelled Estimates
  • [XA_8450] ILO - Modelled Estimates
[classif1] Classification 1
  • [AGE_10YRBANDS_TOTAL] Age (10-year bands): Total
  • [AGE_10YRBANDS_Y15-24] Age (10-year bands): 15-24
  • [AGE_10YRBANDS_Y25-34] Age (10-year bands): 25-34
  • [AGE_10YRBANDS_Y35-44] Age (10-year bands): 35-44
  • [AGE_10YRBANDS_Y45-54] Age (10-year bands): 45-54
  • [AGE_10YRBANDS_Y55-64] Age (10-year bands): 55-64
  • [AGE_10YRBANDS_YGE65] Age (10-year bands): 65+
  • [AGE_10YRBANDS_YLT15] Age (10-year bands): <15
  • [AGE_5YRBANDS_TOTAL] Age (5-year bands): Total
  • [AGE_5YRBANDS_Y00-04] Age (5-year bands): 0-4
  • [AGE_5YRBANDS_Y05-09] Age (5-year bands): 5-9
  • [AGE_5YRBANDS_Y10-14] Age (5-year bands): 10-14
  • [AGE_5YRBANDS_Y15-19] Age (5-year bands): 15-19
  • [AGE_5YRBANDS_Y20-24] Age (5-year bands): 20-24
  • [AGE_5YRBANDS_Y25-29] Age (5-year bands): 25-29
  • [AGE_5YRBANDS_Y30-34] Age (5-year bands): 30-34
  • [AGE_5YRBANDS_Y35-39] Age (5-year bands): 35-39
  • [AGE_5YRBANDS_Y40-44] Age (5-year bands): 40-44
  • [AGE_5YRBANDS_Y45-49] Age (5-year bands): 45-49
  • [AGE_5YRBANDS_Y50-54] Age (5-year bands): 50-54
  • [AGE_5YRBANDS_Y55-59] Age (5-year bands): 55-59
  • [AGE_5YRBANDS_Y60-64] Age (5-year bands): 60-64
  • [AGE_5YRBANDS_YGE65] Age (5-year bands): 65+
  • [AGE_AGGREGATE_TOTAL] Age (Aggregate bands): Total
  • [AGE_AGGREGATE_Y15-24] Age (Aggregate bands): 15-24
  • [AGE_AGGREGATE_Y25-54] Age (Aggregate bands): 25-54
  • [AGE_AGGREGATE_Y55-64] Age (Aggregate bands): 55-64
  • [AGE_AGGREGATE_YGE65] Age (Aggregate bands): 65+
  • [AGE_AGGREGATE_YLT15] Age (Aggregate bands): <15
  • [AGE_YTHADULT_Y15-24] Age (Youth, adults): 15-24
  • [AGE_YTHADULT_Y15-64] Age (Youth, adults): 15-64
  • [AGE_YTHADULT_YGE15] Age (Youth, adults): 15+
  • [AGE_YTHADULT_YGE25] Age (Youth, adults): 25+
[sex] Sex
  • [SEX_F] Sex: Female
  • [SEX_M] Sex: Male
  • [SEX_T] Sex: Total
[frequency] Frequency
  • [A] Annual
Technical links